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analyser_merge_sport_FR_aquitaine_equestrian.py
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analyser_merge_sport_FR_aquitaine_equestrian.py
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#!/usr/bin/env python
#-*- coding: utf-8 -*-
###########################################################################
## ##
## Copyrights Frédéric Rodrigo 2014-2016 ##
## ##
## This program is free software: you can redistribute it and/or modify ##
## it under the terms of the GNU General Public License as published by ##
## the Free Software Foundation, either version 3 of the License, or ##
## (at your option) any later version. ##
## ##
## This program is distributed in the hope that it will be useful, ##
## but WITHOUT ANY WARRANTY; without even the implied warranty of ##
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ##
## GNU General Public License for more details. ##
## ##
## You should have received a copy of the GNU General Public License ##
## along with this program. If not, see <http://www.gnu.org/licenses/>. ##
## ##
###########################################################################
from modules.OsmoseTranslation import T_
from .Analyser_Merge import Analyser_Merge, Source, JSON, Load, Conflate, Select, Mapping
class Analyser_Merge_Sport_FR_Aquitaine_Equestrian(Analyser_Merge):
def __init__(self, config, logger = None):
Analyser_Merge.__init__(self, config, logger)
self.def_class_missing_official(item = 8170, id = 1, level = 3, tags = ['merge', 'sport', 'fix:survey', 'fix:imagery'],
title = T_('Aquitaine equestrian spot not integrated'))
self.init(
u"http://catalogue.datalocale.fr/dataset/liste-des-activites-de-pratique-equestre-en-aquitaine",
u"Liste des activités de pratique équestre en aquitaine",
JSON(Source(attribution = u"Réseau SIRTAQUI - Comité Régional de Tourisme d'Aquitaine - www.sirtaqui-aquitaine.com", millesime = "08/2018",
fileUrl = u"http://wcf.tourinsoft.com/Syndication/aquitaine/3db03dc1-a2aa-415f-b219-53f70d387b53/Objects?$format=json"),
extractor = lambda json: json['d']),
Load("LON", "LAT",
xFunction = Load.degree,
yFunction = Load.degree),
Conflate(
select = Select(
types = ["nodes", "ways"],
tags = {"sport": "equestrian"}),
conflationDistance = 1000,
mapping = Mapping(
static1 = {"sport": "equestrian"},
static2 = {"source": self.source},
mapping1 = {
"name": "NOMOFFRE",
"ref:FR:CRTA": "SyndicObjectID",
"website": lambda fields: None if not fields["URL"] else fields["URL"] if fields["URL"].startswith('http') else 'http://' + fields["URL"]},
text = lambda tags, fields: {"en": ', '.join(filter(lambda x: x, [fields["NOMOFFRE"], fields["AD1"], fields["AD1SUITE"], fields["AD2"], fields["AD3"], fields["CP"], fields["COMMUNE"]]))} )))